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Part Time Remote Machine Learning Jobs in Washington

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · On-site +1

$50 - $80/hr

Start: Future projects in late 2026 or 2027 (not an immediate job opening) Type: Part-time ... Hands-on experience with machine learning models. * Experience in Python NLTK or similar natural ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247120 Location: Arlington,VA,US Share job via: Share Data ... Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist ... Knowledge of statistical analysis, predictive modeling, and machine learning methods * Ability to ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245950 Location: Washington,DC,US Share job via: Share Data Scientist ... Knowledge of statistical analysis, predictive modeling, and machine learning methods * Ability to ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241792 Location: Arlington,VA,US Share job via: Share Data Scientist ... Experience building and applying machine learning techniques * Ability to travel up to 25% of the ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist ... Knowledge of statistical analysis, predictive modeling, and machine learning methods * Ability to ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247640 Location: Reston,VA,US Share job via: Share Data Scientist ... Knowledge of statistical analysis, predictive modeling, and machine learning methods * Ability to ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247512 Location: Arlington,VA,US Share job via: Share Data Scientist ... Experience with natural language processing, text mining, or machine learning techniques * Public ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243983 Location: Arlington,VA,US Share job via: Share Data Scientist ... Experience building and applying machine learning techniques * Ability to travel up to 25% of the ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246129 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Ability to apply supervised and unsupervised machine learning algorithms on structured and ...

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All JobsMachine Learning JobsPart Time Remote Machine Learning JobsPart Time Remote Machine Learning Jobs in Washington

Part Time Remote Machine Learning information

See Washington salary details

$8

$25

$64

How much do part time remote machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for part time remote machine learning in Washington is $25.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $29.23 per hour, depending on experience, location, and employer.

What is a part time remote machine learning job?

Part time remote machine learning jobs are positions where professionals work on machine learning projects or tasks for a limited number of hours per week, and do so from a location outside the traditional office environment, often from home. These roles typically involve developing, testing, or deploying machine learning models, analyzing data, and collaborating with teams online. They are ideal for people seeking flexibility, such as students, freelancers, or individuals balancing other commitments, while contributing to projects in fields like AI, data science, or analytics.

How do part time remote machine learning roles typically structure collaboration and communication with the rest of the team?

Part-time remote machine learning professionals often collaborate with teams using digital tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular check-ins, virtual stand-ups, and shared documentation ensure alignment on project goals and timelines despite differing work hours. Clear communication and proactive updates are important, as team members may be dispersed across time zones and working non-overlapping schedules. Flexibility and self-motivation are key to staying connected and contributing effectively in this distributed work environment.

What are the key skills and qualifications needed to thrive as a part time remote machine learning professional, and why are they important?

To thrive as a Part Time Remote Machine Learning professional, you need a strong grasp of mathematics, statistics, programming (commonly Python), and a relevant educational background such as a degree in computer science or a related field. Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch) and version control systems like Git is typically required. Excellent time management, self-motivation, and clear communication skills are crucial for navigating remote collaboration and project deadlines. These skills ensure that you can independently deliver high-quality ML solutions while effectively contributing to distributed teams.

What is the difference between Part Time Remote Machine Learning vs Part Time Remote Data Scientist?

AspectPart Time Remote Machine LearningPart Time Remote Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, collaborative teams, project-focused
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research
Common Search IntentPart Time Remote Machine Learning jobs, freelance ML rolesPart Time Remote Data Scientist jobs, freelance data roles

Part Time Remote Machine Learning roles focus on developing algorithms and models, often requiring programming and ML frameworks. Part Time Remote Data Scientist positions involve analyzing data, creating insights, and may include statistical analysis. Both roles are remote and flexible but differ in core responsibilities and skill sets.

What are the most commonly searched types of Remote Machine Learning jobs in Washington?

The most popular types of Remote Machine Learning jobs in Washington are:

What are popular job titles related to Part Time Remote Machine Learning jobs in Washington?

For Part Time Remote Machine Learning jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Machine Learning jobs in Washington look for?

The top searched job categories for Part Time Remote Machine Learning jobs in Washington are:

Part Time Remote Machine Learning jobs near you
Infographic showing various Part Time Remote Machine Learning job openings in Washington as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $52,359 per year, or $25.2 per hour.

Senior AI Test Engineer (Remote)

TestPros

Sterling, VA • On-site, Remote

$50 - $80/hr

Part-time

Posted 25 days ago

Job description

TestPros delivers innovative independent IT assessment solutions to critical challenges facing the nation and the world. We support the U.S. Federal/State/Local Government and Commercial clients within the continental USA. TestPros is dedicated to making lives better, safer and more secure.
TestPros is seeking a Senior Artificial Intelligence (AI) System Test Engineer with an analytical, customer-focused mindset and experience with the OWASP AI Testing Guide and other guidelines from NIST, ISO, and IEEE.
Start: Future projects in late 2026 or 2027 (not an immediate job opening)
Type: Part-time consulting
Overview
Focus: Software test end evaluation
Regulatory Basis: OWASP AI Testing Guide, NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF) Cyber AI Profile, AI Bills of Materials (AI-BOMs), NSA AI Security Guidelines.
Location: Remote, with occasional travel to customer sites or TestPros labs in Sterling, VA
This role evaluates AI systems and software for alignment with the intended functions and features, plus additional assessment focused on AI-specific validation, including model robustness, data integrity, adversarial defense, performance, usability, reliability, security, maintainability, safety, and other aspects of overall quality.
Key Responsibilities:
Develop and execute test plans and evaluate software for compliance with the OWASP AI Testing Guide and other guidance, create defect and remediation records, capture test evidence and document defects with clear reproduction steps and severity ratings, report results to senior management and stakeholders.
Required Skills.
  • Bachelor's degree in computer science, engineering or a related field.
  • 10+ years of experience in Software/System Testing and Quality Engineering (QE), including enterprise-scale transformation programs.
  • Solid understanding of and experience with the OWASP AI Testing Guide, and the NIST AI Risk Management Framework (RMF).
  • 4+ years hands-on experience defining the testing strategy for large scale programs and ensuring requirements traceability throughout the system development lifecycle. Experience should include leading the testing efforts, including experience with all phases of testing: system integration, user acceptance, and performance testing.
  • A deep understanding of testing planning and associated delivery challenges.
  • A strong understanding of the various approaches used in testing techniques - white-box, black-box, load testing, coverage testing and regression testing.
  • Proven experience in defining and executing QE transformation strategy.
  • Hands-on expertise in Agentic AI / GenAI frameworks (e.g., LangChain, AutoGen, CrewAI, Cursor, etc.).
  • Experience working in Cloud, Web and Mobile Testing platforms - Saucelabs, Browerstack are preferred.
  • Hands-on experience with machine learning models.
  • Experience in Python NLTK or similar natural language processing technology.
  • Practical experience implementing AI-driven QE solutions such as:
  • Autonomous test generation
  • Self-healing automation
  • Defect prediction and intelligent triaging
  • Expertise in test automation tools (Selenium, Playwright, Cypress, etc.).
  • Strong experience with CI/CD pipelines and DevOps integration (GitHub).
  • Solid understanding of API, microservices, and cloud-native architectures.
  • Experience evaluating or testing Artificial Intelligence (AI) Large Language Model (LLM)-based application features (e.g., chatbots, copilots, RAG-based systems), including prompt-response validation and hallucination/edge-case testing.
  • Exposure to AI-assisted defect triage or root-cause analysis tools that reduce manual investigation time.
  • Experience with cloud platforms (AWS, Azure, GCP) in QE/AI context.
  • Exposure to self-healing test automation frameworks (AI-driven locator repair, visual AI testing).
  • Understanding of responsible AI/testing governance principles (bias detection, explainability, model validation) as applied to QE.
  • Experience contributing to or influencing AI-adoption roadmaps within a testing/QE organization.
  • Experience implementing testing best practices specific to the test planning and execution processes and gaining buy-in for changes from executives.
Preferred Skills
  • Experience with test automation tools, and AI assisted test tools
  • Familiarity with JIRA project/test management system
  • Knowledge of other IT compliance such as WCAG/Accessibility, IT Security, IT Privacy
  • Professional certifications in the software testing discipline

Work Environment: Hands-on testing role. Remote-friendly with occasional on-site or hybrid work as needed.
Rate: $50-80/hr. 1099 or Corp. To Corp.). This range represents a good-faith estimate and is not a guarantee; final compensation is determined by factors such as experience, qualifications, and government contract labor rate requirements and may fall outside the stated range.
Equal Opportunity Employer
TestPros is an equal-opportunity employer and does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any other non-merit factor.
Offer Considerations
TestPros considers several factors when extending an offer, including but not limited to, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, geographic location, education, and certifications.
Federal Compliance
As a federal contractor, TestPros is subject to all federal and state mandates and/or other customer requirements.

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